Current LoRa networks including those following the LoRaWAN specification use primitive ALOHA mechanism for media access control due to LoRa's lack of carrier sense capability. From our extensive measurements, Channel Activity Detection (CAD) feature that is recently introduced energy-efficiently detecting preamble chirps, can also detect payload chirps reliably. This sheds light on an efficient carrier-sense multiple (CSMA) protocol we call LMAC networks. paper presents designs three...

As an emerging and prospective paradigm, the industrial Internet of Things (IIoT) enable intelligent manufacturing through interconnection interaction production elements. The traditional approach that transmits data in a single physical network is undesirable because such scheme cannot meet requirements different applications. To address this problem, article, we propose slicing orchestration system for remote adaptation configuration smart factories. We exploit software-defined networking...

The robot's mobility and intelligence have expanded its application in recent years. Specifically, indoor tracking is a fundamental function of public service robots nursing homes, hospitals, warehouses. Existing vision-based requires visual information, which may be unavailable introduce privacy issues practical deployment. To this end, paper, we propose <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math...

Current LoRa networks including those following the LoRaWAN specification use primitive ALOHA mechanism for media access control due to LoRa’s lack of carrier sense capability. From our extensive measurements, channel activity detection feature that was recently introduced energy-efficiently detecting preamble chirps can also detect payload reliably. This sheds light on an efficient carrier-sense multiple protocol we refer as LMAC networks. article presents designs three advancing versions...

Driven by the continuous growth of network demands, Large-scale Deterministic Network (LDN) has been proposed to deliver deterministic services with improved latency and jitter, zero packet loss, configurable bandwidth, high reliability across a broad geographical area. LDN serves as bridge for businesses connect share information different sectors high-quality customized services. However, conveyance massive flows stringent demands in large topology poses technical challenges architecture,...

Symmetric key generation based on biometrics has emerged as a promising solution for wearables pairing. Among various biometrics, heartbeats offer significant potential owing to their inherent randomness and spontaneity. Ballistocardiography (BCG), in particular, stands out its accessibility inclusivity, it measures the body's recoil forces response cardiac blood ejection into vasculature. However, traditional approaches BCG suffer from challenges sensing limited rates. To this end, paper...

Low-power wide-area network (LPWAN) technologies featuring long-range communication capability and low power consumption will be important for forming the Internet of Things (IoT) consisting many geographically distributed objects. Among various appearing LPWAN technologies, LoRa has received most research attention due to its open specifications gateway infrastructures unlike closed designs and/or managed other technologies. While existing studies on focused connectivity performance,...

Executing deep neural networks for inference on the server-class or cloud backend based data generated at edge of Internet Things is desirable due primarily to limited compute power devices and need protect confidentiality networks. However, such a remote scheme incurs concerns regarding privacy transmitted by curious backend. This article presents lightweight unobtrusive approach obfuscate devices. It in that device only needs execute small-scale network; it does not indicate whether...

Recent years have seen the increasing need of location awareness by mobile applications. This paper presents a room-level indoor localization approach based on measured room's echos in response to two-millisecond single-tone inaudible chirp emitted smartphone's loudspeaker. Different from other acoustics-based room recognition systems that record full-spectrum audio for up ten seconds, our records narrow band 0.1 seconds only preserve user's privacy. However, short-time and narrowband signal...

Time-sensitive networking (TSN), an emerging network technology, requires high-performance scheduling mechanisms to deliver deterministic service in Industry 5.0. Cyclic queuing and forwarding (CQF) is launched simplify the configuration complexity of early stage mechanism time-aware shaper TSN flow scheduling. Previous CQF studies adopt inflexible incremental scheme, which consists sorting, offset search, resource judgment. However, we observe that sorting search are mutually...

This paper presents the design, implementation, and evaluation of MagWear, a novel biomagnetism-based system that can accurately inclusively monitor heart rate respiration mobile users with diverse skin tones. MagWear's contributions are twofold. Firstly, we build mathematical model characterizes magnetic coupling effect blood flow under influence an external field. uncovers variations in accuracy when monitoring vital signs among individuals. Secondly, leveraging insights derived from this...

Low-power wide-area network technologies such as long-range (LoRaWAN) are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor is a critical system function. This article considers synchronization-free approach to LoRaWAN uplink based on signal arrival time at gateway, well matches LoRaWAN’s one-hop star topology and releases bandwidth transmitting timestamps synchronizing end devices’ clocks all times. However, we show...

LoRaWAN is a narrowband wireless technology for ubiquitous connectivity. For various applications, it desirable to localize devices based on their uplink frames that convey application data. This localization service operates in an unobtrusive manner, requires no special software instrumentation the devices. paper investigates feasibility of hall-size indoor spaces like warehouses, airport terminals, sports centers, museum halls, etc. We study TDoA-based approach, which needs address two...

Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach to recognize human gait from RGB images, owing progress of computer vision technologies. Nevertheless, perception capability cameras deteriorates rough circumstances, and visual surveillance may cause privacy invasion. Due robustness non-invasive feature millimeter wave (mmWave) radar, radar-based has attracted increasing attention recent years. In this research, we propose a...

Human activity recognition (HAR) will be an essential function of various emerging applications. However, HAR typically encounters challenges related to modality limitations and label scarcity, leading application gap between current solutions real-world requirements. In this work, we propose MESEN, a multimodal-empowered unimodal sensing framework, utilize unlabeled multimodal data available during the model design phase for enhancement deployment phase. From study on impact supervised...

Separation of control and data planes (SCDP) is a desirable paradigm for low-power multi-hop wireless networks requiring high network performance manageability. Existing SCDP generally adopt an in-band plane scheme in that the control-plane messages are delivered by their data-plane networks. The physical coupling two may lead to undesirable consequences. To advance architecture design, we propose leverage on long-range communication capability increasingly available wide-area (LPWAN) radios...

Separation of Control and Data Planes (SCDP) is a desirable paradigm for low-power multi-hop wireless sensor networks requiring high network performance manageability. Existing SCDP generally adopt an in-band control plane scheme in that the control-plane messages are delivered by their data-plane networks. The physical coupling two planes may lead to undesirable consequences. Recently, multi-radio platforms (e.g., TI CC1350 OpenMote B) increasingly available, which make separation data...

Covert channel, which can break the logical protections of computer system and leak confidential or sensitive information, has long been considered a security issue in network research community. However, recent shown that cooperative agents use "covert" channel to augment communication legitimate applications, rather than by adversaries seeking compromise security. This further broadens potential applications covert channels. Despite this, design implementation channels context Low Power...

The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. However, the extensive collection and processing in IoT also engender various privacy concerns. This paper provides taxonomy existing privacy-preserving machine learning approaches developed context cloud computing discusses challenges applying them IoT. Moreover, we present inference approach that runs lightweight neural network at objects to obfuscate before transmission...

Low-power wide-area network technologies such as LoRaWAN are promising for collecting low-rate monitoring data from geographically distributed sensors, in which timestamping the sensor is a critical system function. This paper considers synchronization-free approach to uplink based on signal arrival time at gateway, well matches LoRaWAN’s one-hop star topology and releases bandwidth transmitting timestamps synchronizing end devices’ clocks all times. However, we show that this susceptible...